Abstract: Entities expansion and attribute values discovery has been an important research topic in the field of Web data extraction and integration.In this paper the Web table and domain entity were modeled as bipartite graph.Based on quality score,the expansion entity set will be update iteratively until the expansion entity set’s quality score reaches a local maximum and the expansion entity set will not update.To collect structured numerical or discrete attributes of the entities,we presented a method based on ILP to complete the attribute values discovery of the entities.Experiment results show that the proposed approach outperforms previous techniques in terms of both precision and recall.

Key words: Entity expansion,Attribute values filling,Integer linear program